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arXiv 2303.08158q-bio.PEnlin.AO
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捕食者、猎物与寄生虫之间的生态进化循环优势

Eco-evolutionary cyclic dominance among predators, prey, and parasites

Sayantan Nag Chowdhury, Jeet Banerjee, Matjaž Perc, Dibakar Ghosh

AI总结:

该研究针对传统捕食者-猎物-寄生虫模型无法实现三物种稳定共存的问题,引入自由空间作为生态进化组分构建博弈论模型,证明其通过循环优势稳定动力学,确定共存参数区与分岔类型,为理解生物多样性限制提供了新视角。

摘要:

捕食者-猎物相互作用是生态学的核心研究主题之一,同时在社会科学和自然科学领域具有诸多跨学科意义。本文研究了这类相互作用中常被忽视的一类物种——寄生虫。我们首先证明,受经典Lotka-Volterra方程启发构建的简单捕食者-猎物-寄生虫模型,无法实现三个物种的稳定共存,因此无法产生符合生物学现实的结果。为改进这一缺陷,我们在一个新的数学模型中引入自由空间作为关键的生态进化组分,该模型采用博弈论收益矩阵来描述更符合现实的设定。随后我们证明,对自由空间的考量通过三个物种间涌现的循环优势稳定了系统动力学。我们通过解析推导与数值模拟,确定了物种共存的参数区域,以及导致共存的分岔类型。我们得出结论:将自由空间视为一种有限资源,揭示了捕食者-猎物-寄生虫相互作用中生物多样性的限制,也可能帮助我们确定促进健康生物群的因素。

英文摘要:

Predator prey interactions are one of ecology's central research themes, but with many interdisciplinary implications across the social and natural sciences. Here we consider an often-overlooked species in these interactions, namely parasites. We first show that a simple predator prey parasite model, inspired by the classical Lotka Volterra equations, fails to produce a stable coexistence of all three species, thus failing to provide a biologically realistic outcome. To improve this, we introduce free space as a relevant eco-evolutionary component in a new mathematical model that uses a game-theoretical payoff matrix to describe a more realistic setup. We then show that the consideration of free space stabilizes the dynamics by means of cyclic dominance that emerges between the three species. We determine the parameter regions of coexistence as well as the types of bifurcations leading to it by means of analytical derivations as well as by means of numerical simulations. We conclude that the consideration of free space as a finite resource reveals the limits of biodiversity in predator prey parasite interactions, and it may also help us in the determination of factors that promote a healthy biota.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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